ValueError when initializing PineconeVectorStore with LangChain

Support
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1

Title: ValueError with langchain_community.vectorstores Pinecone Integration

Hi everyone,

I’m getting this error when trying to initialize a Pinecone vector store using the community package:

ValueError: client should be an instance of pinecone.Index, got <class 'pinecone.data.index.Index'>

Here’s my current code:

from langchain_community.vectorstores import Pinecone as LangChainPinecone

dense_retriever = LangChainPinecone.from_existing_index(
    index_name="sage", 
    embedding=embeddings, 
    namespace=namespace
).as_retriever(search_kwargs={"k": top_k})

I notice there are different ways to initialize Pinecone with LangChain. Could someone help clarify:

  1. What’s causing this specific error?
  2. Is there a difference between using langchain_community.vectorstores vs langchain_pinecone?

Thanks in advance!

2

Having the same issue but with slightly different syntax

vectorstore = LangchainPinecone(index, embed, text_field, namespace)
3

Hello @hisham and @alejogbravo,

Welcome to the community. Can you both share the version of LangChain and Pinecone you are using? The output of pip list might be the easiest way to do it.

4

Hi @patrick1

pinecone-client           5.0.1
pinecone-plugin-interface 0.0.7

langchain                 0.3.7
langchain-community       0.3.5
langchain-core            0.3.37
langchain-openai          0.3.6
langchain-text-splitters  0.3.2
langsmith                 0.1.140
5

Let me know if you want me to paste the entire pip list here